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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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China: All Local Post Offices
 
   
      05 July-September 2023, Volume 38 Issue 4
    Article

    STROKE PREDICTION USING HYBRID MODEL
    S. Veena, Aditya R. Nair, R. Rahul, A.M. Kirushna Kumaar
    Journal of Data Acquisition and Processing, 2023, 38 (4): 2006-2013 . 

    Abstract

    Researchers have focused a lot of emphasis on the field of medical science. Several researchers have pinpointed a variety of explanations for human early mortality. The relevant research has established that several factors can lead to diseases, with heart-related conditions being one such factor. Numerous researchers put up unique ideas to prolong human life and assist medical professionals in identifying, preventing, and treating cardiac disease. Although some of the practical approaches make the expert's choice easier, every effective plan has limitations of its own. The suggested method analyzes a decision tree, random forest, xGBoost, and hybrid model act robustly. Following a process analysis, the intended method is cleverly constructed. First, the goal is to determine which approach is best for you and analyze the data.

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ISSN 1004-9037

         

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